package com.sky.service.impl;

import com.sky.dto.GoodsSalesDTO;
import com.sky.entity.Orders;
import com.sky.mapper.OrderMapper;
import com.sky.mapper.UserMapper;
import com.sky.service.OrderService;
import com.sky.service.ReportService;
import com.sky.service.WorkspaceService;
import com.sky.vo.*;
import lombok.extern.slf4j.Slf4j;
import org.apache.commons.lang3.StringUtils;
import org.apache.poi.xssf.usermodel.XSSFRow;
import org.apache.poi.xssf.usermodel.XSSFSheet;
import org.apache.poi.xssf.usermodel.XSSFWorkbook;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Service;

import javax.servlet.ServletOutputStream;
import javax.servlet.http.HttpServletResponse;
import java.io.IOException;
import java.io.InputStream;
import java.time.LocalDate;
import java.time.LocalDateTime;
import java.time.LocalTime;
import java.util.ArrayList;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.stream.Collectors;

@Service
@Slf4j
public class ReportServiceImpl implements ReportService {

    @Autowired
    private OrderMapper orderMapper;
    @Autowired
    private UserMapper userMapper;
    @Autowired
    private WorkspaceService workspaceService;
    /**
     * 统计营业额
     * @param begin
     * @param end
     * @return
     */
    public TurnoverReportVO getTurnoverStatistic(LocalDate begin, LocalDate end) {
        //当前集合用于存放从begin到end范围内的每天的日期
        List<LocalDate>dateList = new ArrayList<>();
        dateList.add(begin);
//        dateList.add(startDate.plusDays(1));
        while(!begin.equals(end)){
            //日期计算,计算指定日期的后一天对应的日期
            begin = begin.plusDays(1);
            dateList.add(begin);
        }

        //存放每天的营业额
        List<Double>turnoverList = new ArrayList<>();
        for (LocalDate date : dateList) {
            //查询date日期对应的营业额,营业额是指状态为"已支付"的订单的总金额
            LocalDateTime beginTime = LocalDateTime.of(date, LocalTime.MIN);//一天开始的时间
            LocalDateTime endTime = LocalDateTime.of(date, LocalTime.MAX);//一天结束的时间

            //Select sum(amount) from orders where order_time>? and order_time<? and status = 5;
            Map map = new HashMap<>();
            map.put("begin", beginTime);
            map.put("end", endTime);
            map.put("status", Orders.COMPLETED);
            Double turnover = orderMapper.sumByMap(map);
            turnover = turnover == null ? 0.0:turnover;
            turnoverList.add(turnover);
        }

        //为什么参数越多使用构造器模式越好?
        //因为构造器模式可以让代码更加简洁,更加易读,更加易于维护
        //这里的构造器模式就是一个参数列表,里面包含了所有需要的参数,可以直接通过参数名来获取参数值
        //这样可以避免使用set方法来设置参数值,使代码更加简洁,更加易读,更加易于维护
        return TurnoverReportVO
                .builder()
                .dateList(StringUtils.join(dateList, ","))//lang3包下的StringUtils类,用于将集合转换为字符串
                .turnoverList(StringUtils.join(turnoverList, ","))
                .build();
    }


    /**
     * 统计用户数据
     * @param begin
     * @param end
     * @return
     */
    public UserReportVO getUserStatistic(LocalDate begin, LocalDate end) {
        List<LocalDate>dateList = new ArrayList<>();
        dateList.add(begin);
        while(!begin.equals(end)){
            begin = begin.plusDays(1);
            dateList.add(begin);
        }

        //存放每天新增用户数量 select count(id) from user where create_time < ? and create_time > ?;
        List<Integer>newUserList = new ArrayList<>();
        //存放每天的总用户数量 select count(id) from user where create_time < ?
        //动态拼这两个sql
        List<Integer>totalUserList = new ArrayList<>();

        //user中有一个create_time字段,表示用户注册时间,所以可以根据这个字段来统计用户数据


        for (LocalDate date : dateList) {
            LocalDateTime beginTime = LocalDateTime.of(date, LocalTime.MIN);
            LocalDateTime endTime = LocalDateTime.of(date, LocalTime.MAX);

            Map map = new HashMap<>();
            map.put("end", endTime);
            //总用户数量
            Integer totalUser = userMapper.countByMap(map);

            map.put("begin", beginTime);

            //新增用户数量
            Integer newUser = userMapper.countByMap(map);
            totalUserList.add(totalUser);
            newUserList.add(newUser);
        }

        /**
         * 封装结果数据
         */
        return UserReportVO.builder().dateList(StringUtils.join(dateList,","))
                .newUserList(StringUtils.join(newUserList,","))
                .totalUserList(StringUtils.join(totalUserList,","))
                .build();
    }


    /**
     * 统计订单数据
     * @param begin
     * @param end
     * @return
     */
    public OrderReportVO getOrdersStatistic(LocalDate begin, LocalDate end) {
        List<LocalDate> dateList = new ArrayList<>();
        dateList.add(begin);
        while (!begin.equals(end)) {
            begin = begin.plusDays(1);
            dateList.add(begin);
        }

        //存放每天的订单总数
        List<Integer> orderCountList = new ArrayList<>();
        //存放每天的有效订单数
        List<Integer> validOrderCountList = new ArrayList<>();

        //遍历dateList集合,查询每天的有效订单数和订单总数
        for (LocalDate localDate : dateList) {
            LocalDateTime beginTime = LocalDateTime.of(localDate, LocalTime.MIN);
            LocalDateTime endTime = LocalDateTime.of(localDate, LocalTime.MAX);

            //查询每天的订单总数 select count(id) from orders where order_time > ? and order_time < ?;
            Integer orderCount = getOrderCount(beginTime, endTime, null);
            orderCountList.add(orderCount);
            //查询每天的有效订单数 select count(id) from orders where order_time > ? and order_time < ? and status = 5;
            Integer validOrderCount = getOrderCount(beginTime, endTime, Orders.COMPLETED);
            validOrderCountList.add(validOrderCount);
        }
        //封装结果数据
        //计算时间区间内的订单总数量
        Integer totalOrderCount = orderCountList.stream().reduce(Integer::sum).get();

        //计算时间区间内的有效订单数量
        Integer validOrderCount = validOrderCountList.stream().reduce(Integer::sum).get();

        //计算订单完成率

        Double orderCompletionRate = 0.0;
        if (totalOrderCount != 0) {
            orderCompletionRate = (double) validOrderCount / totalOrderCount;
        }

        return OrderReportVO.builder().dateList(StringUtils.join(dateList,","))
                .orderCountList(StringUtils.join(orderCountList,","))
                .validOrderCountList(StringUtils.join(validOrderCountList,","))
                .totalOrderCount(totalOrderCount)
                .validOrderCount(validOrderCount)
                .orderCompletionRate(orderCompletionRate)
                .build();
    }

    /**
     * 根据条件统计订单数量
     * @param begin
     * @param end
     * @param status
     * @return
     */
    private Integer getOrderCount(LocalDateTime begin, LocalDateTime end, Integer status) {
        Map map = new HashMap<>();
        map.put("begin",begin);
        map.put("end",end);
        map.put("status",status);
        return orderMapper.countByMap(map);
    }

    /**
     * 统计销售排行榜Top10
     * @param begin
     * @param end
     * @return
     */
    public SalesTop10ReportVO getTop10(LocalDate begin, LocalDate end) {
        /*
        select od.name,sum(od.number) from order_detail od,orders owhere od.order_id = o.id and o.status = 5
        and o.ordertime > ''? and ordertime< ''? group by od.name order by sum(od.number) desc limit 0,10;
         */


        LocalDateTime beginTime = LocalDateTime.of(begin, LocalTime.MIN);
        LocalDateTime endTime = LocalDateTime.of(end, LocalTime.MAX);

        List<GoodsSalesDTO> salesTop10 = orderMapper.getSalesTop10(beginTime, endTime);
        List<String> names = salesTop10.stream().map(GoodsSalesDTO::getName).collect(Collectors.toList());
        String nameList = StringUtils.join(names, ",");
        List<Integer> numbers = salesTop10.stream().map(GoodsSalesDTO::getNumber).collect(Collectors.toList());
        String numberList = StringUtils.join(numbers, ",");

        return SalesTop10ReportVO.builder().nameList(nameList).numberList(numberList).build();

    }

    /**
     * 导出业务数据
     * @param response
     */
    public void exportBusinessData(HttpServletResponse response) {
        //1.查询数据库,获取需要导出的业务数据--最近30天
        LocalDate dateBegin = LocalDate.now().minusDays(30);
        LocalDate dateEnd = LocalDate.now().minusDays(1);


        BusinessDataVO businessData = workspaceService.getBusinessData(LocalDateTime.of(dateBegin, LocalTime.MIN), LocalDateTime.of(dateEnd, LocalTime.MAX));
        //2.将业务数据转换为Excel表格 ,poi、easyExcel、jxl等工具都可以实现 这里使用poi
        InputStream in = this.getClass().getClassLoader().getResourceAsStream("template/运营数据报表模板.xlsx");

        //基于模版文件创建一个新Excel工作簿
        try {
            XSSFWorkbook excel = new XSSFWorkbook(in);

            //业务数据填充到Excel表格中
            //时间
            XSSFSheet sheet = excel.getSheet("Sheet1");
            sheet.getRow(1).getCell(1).setCellValue(dateBegin.toString() + "至" + dateEnd.toString());

            //营业额
            XSSFRow row = sheet.getRow(3);
            row.getCell(2).setCellValue(businessData.getTurnover());
            //订单完成率
            row.getCell(4).setCellValue(businessData.getOrderCompletionRate());
            //新增用户
            row.getCell(6).setCellValue(businessData.getNewUsers());
            //获得第5行
            row = sheet.getRow(4);
            row.getCell(2).setCellValue(businessData.getValidOrderCount());
            row.getCell(4).setCellValue(businessData.getUnitPrice());

            //明细数据填充到Excel表格中 上面是30天 下面是具体每一条的
            for (int i = 0; i < 30; i++) {
                LocalDate date = dateBegin.plusDays(i);
                //查询某一天的业务数据
                BusinessDataVO businessDatai = workspaceService.getBusinessData(LocalDateTime.of(date, LocalTime.MIN), LocalDateTime.of(date, LocalTime.MAX));
                row = sheet.getRow(i + 7);//获得某一行
                row.getCell(1).setCellValue(date.toString());
                row.getCell(2).setCellValue(businessDatai.getTurnover());
                row.getCell(3).setCellValue(businessDatai.getValidOrderCount());
                row.getCell(4).setCellValue(businessDatai.getOrderCompletionRate());
                row.getCell(5).setCellValue(businessDatai.getUnitPrice());
                row.getCell(6).setCellValue(businessDatai.getNewUsers());
            }



            //3.将Excel表格写入到response输出流中,实现下载功能
            ServletOutputStream outputStream = response.getOutputStream();
            excel.write(outputStream);

            outputStream.flush();
            outputStream.close();
            excel.close();
        } catch (IOException e) {
            e.printStackTrace();
        }



    }
}
